Chlorophyll meter – a decision-making tool for nitrogen application in wheat under light soils

Authors

  • Akbar Hossain Wheat Research Centre, Bangladesh Agricultural Research Institute, Dinajpur-5200, Bangladesh.
  • J.A. Teixeira da Silva P.O. Box 7, Miki-cho post office, Ikenobe 3011-2, Kagawa-ken, 761-0799, Japan
  • Jagadish Timsina Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, Australia.
  • M.M. Akhter Wheat Research Centre, Bangladesh Agricultural Research Institute, Dinajpur-5200, Bangladesh.
  • M.S. Islam Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh.
Abstract:

Nitrogen (N) in plants is generally diagnosed by a soil test and plant tissue analysis.However, such analyses are costly in terms of time and money and are not easily accessible byresearchers and extension workers, let alone farmers. Alternative cost-effective methods arerequired for rapid analysis of the N status of crops and to guide N management in wheat. Theobjective of this study was to assess whether the SPAD values using a leaf chlorophyll metercould be used to apply N at the maximum tillering (MT) stage of irrigated spring wheat grownunder light soils of South Asia. Experiments were conducted over two years under light soils atthe Wheat Research Centre (WRC), Dinajpur, Bangladesh. Treatments were 80, 100 and 120kg N ha−1, applied two-thirds as basal and one-third at the crown root initiation (CRI) stagealong with additional 10, 20 and 30 kg N ha−1 (first year) and 0, 10, 20 and 30 kg N ha-1 (secondyear) at MT. Rates at MT were determined on the basis of SPAD values, which fell below thecritical value of 37.5, recorded at 45 days after sowing (DAS). SPAD values recorded at 55 and65 DAS were positively correlated with grain yield (GY), indicating that the application of extraN at MT influences wheat GY. Our results have two major implications: (i) SPAD values basedon a leaf chlorophyll meter can be used for N application and (ii) extra 30 kg N ha-1 at MT isrecommended for achieving maximum GY of irrigated spring wheat under the light soils ofSouth Asia.

Download for Free

Sign up for free to access the full text

Already have an account?login

similar resources

Application of Bayesian decision making tool in detecting oil-water contact in a carbonate reservoir

Detection of Oil-Water Contacts (OWCs) is one of the primary tasks before evaluation of reservoir’s hydrocarbon in place, determining net pay zones and suitable depths for perforation operation. This paper introduces Bayesian decision making tool as an effective technique in OWC detecting using wire line logs. To compare strengths of the suggested method in detecting OWC with conventional one, ...

full text

A GA Model Development for Decision Making Under Reverse Logistics

  Managing products’ end-of-life and recovery of used products is gaining significant importance during last years. Therefore, managing the reverse flow of products can be an important potential for winning consumers in future competitive markets. In this context, establishing reverse logistics networks is becoming a main problem in reverse supply chains. Genetic Algorithm (GA) is utilized to s...

full text

Predicting nitrogen fertilizer requirements for corn by chlorophyll meter under different N availability conditions

Rashid, M. T., Voroney, P. and Parkin, G. 2005. Predicting nitrogen fertilizer requirements for corn by chlorophyll meter under different N availability conditions. Can. J. Soil Sci. 85: 149–159. Nitrogen management strategies that enhance fertilizer use efficiency and maximize profitability in corn require a rapid and accurate method to determine the crop N needs of current hybrids. The object...

full text

a tool for managerial decision making aligned with quality development

background and purpose: internal evaluation has been a growing trend as the first step improvement in higher education specially in medical universities of iran. however, the results of this time consuming process of internal evaluation seems to be underused. we provide a description of anesthesiology department of shaheed beheshti university of medical sciences where the results were used to i...

full text

application of bayesian decision making tool in detecting oil-water contact in a carbonate reservoir

detection of oil-water contacts (owcs) is one of the primary tasks before evaluation of reservoir’s hydrocarbon in place, determining net pay zones and suitable depths for perforation operation. this paper introduces bayesian decision making tool as an effective technique in owc detecting using wire line logs. to compare strengths of the suggested method in detecting owc with conventional one, ...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 10  issue 3

pages  289- 302

publication date 2016-07-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023